Quanliang Liu

Orcid: 0000-0002-2989-6408

According to our database1, Quanliang Liu authored at least 9 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach.
ACM Trans. Inf. Syst., March, 2024

Maximum Entropy Policy for Long-Term Fairness in Interactive Recommender Systems.
IEEE Trans. Serv. Comput., 2024

Beyond designer's knowledge: Generating materials design hypotheses via large language models.
CoRR, 2024

Hierarchical Reinforcement Learning for Long-term Fairness in Interactive Recommendation.
Proceedings of the IEEE International Conference on Web Services, 2024

2023
RTiSR: a review-driven time interval-aware sequential recommendation method.
J. Big Data, December, 2023

Neighbor importance-aware graph collaborative filtering for item recommendation.
Neurocomputing, September, 2023

Inexpensive High Fidelity Melt Pool Models in Additive Manufacturing Using Generative Deep Diffusion.
CoRR, 2023

Towards Long-term Fairness in Interactive Recommendation: A Maximum Entropy Reinforcement Learning Approach.
Proceedings of the IEEE International Conference on Web Services, 2023

2021
cuSCNN: A Secure and Batch-Processing Framework for Privacy-Preserving Convolutional Neural Network Prediction on GPU.
Frontiers Comput. Neurosci., 2021


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